Senior Software Engineer - LSP

About the role

You will work in a fast-paced Agile environment designing, building, and operating backend systems that power decision intelligence capabilities for logistics service providers. You won't be a cog in a large engineering machine - you'll be close to the product, close to customers, and shipping things that matter.

Responsibilities

• Design, build, and operate backend systems that power decision intelligence capabilities, using AI and analytics to help LSP customers make informed, timely, and confident supply chain decisions
• Build services and workflows that reduce manual effort and enable action - helping customers collaborate more effectively with carriers and partners
• Own and modernize core platform services such as identity and access management (IAM) and search infrastructure, keeping them secure, scalable, and extensible as new AI capabilities are introduced
• Transform large-scale logistics data into actionable insights - supporting recommendations, decision support, and automated actions
• Partner closely with product, data, and design to translate ambiguous customer problems into well-scoped, scalable technical solutions
• Build and operate systems on Google Cloud Platform (GCP), leveraging managed services for reliable, scalable backend delivery
• Take shared ownership of development, testing, deployment, and operations for your team's systems
• Participate in on-call rotation, debugging and resolving issues across your team's services
• Improve observability, monitoring, and operational tooling to ensure system reliability
• Contribute to technical design discussions, code reviews, and documentation - setting a high bar for quality and maintainability
• Mentor and support other engineers through code reviews, pairing, and technical guidance

Requirements

• 5+ years of professional experience building large-scale, cloud-based systems
• Strong programming and debugging skills with proficiency in Java
• Experience designing and building scalable Java-based microservices
• Experience designing and consuming APIs and web services (REST, OpenAPI/Swagger)
• Experience working with NoSQL and/or relational databases (MongoDB, DynamoDB, Postgres, or similar)
• Experience working in an Agile software development environment
• Comfortable using AI-assisted development tools (Cursor, Claude, GitHub Copilot, or similar) while maintaining high standards for code quality and correctness
• Event-driven systems and stream-processing pipelines (Kafka, Kinesis, or simila

Benefits

Additional Information

Why p44LSP.ai? At project44, we believe in better - and p44LSP.ai is what better looks like for the logistics service provider market. For years, project44 focused on global shippers as our core customer. That focus worked. Our Shipper business is a category leader growing 20% year-over-year. That strength is what makes the next chapter possible. Shippers and LSPs are fundamentally different businesses. Shippers buy logistics software to support their core operations. Logistics Service Providers - freight forwarders, brokers, and 3PLs - sell logistics as their product. Their software is their competitive edge. They buy fast, build on APIs and agents, and reward teams that ship in weeks, not quarters. This is why we created p44LSP.ai: a dedicated, AI-native division built to serve the LSP market with the focus, speed, and resources it deserves. It's the scope and ownership of an AI startup, backed by the infrastructure of a $124M business - 259K carriers, billions of shipment outcomes, agents in production, and direct access to project44's data graph, carrier network, and enterprise relationships. This is a small, hand-picked team operating across Chicago, San Francisco, Bangalore, and the EU. Flat org. Forward-deployed engineering. AI coding tools across the workflow. Agents as the product surface. Customers who pilot in weeks and tell you what they think directly. The LSP market is moving fast. AI agent startups are growing 300%+ year-over-year, and seven of eight sell to LSPs. We have the data position, the platform, the customers, and now the team. We're hiring the engineers who will build it with us. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers If you're driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team - we should talk.

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